Sentinel 2 Data Fetcher

Installation

• Create a Virtual Environment and activate it.

  python3 -m venv venv
  . venv/bin/activate

• Install the Package via pip.

  pip install sat-mapping-cyborg-ai

Usage

• Import the Library

  from sat_mapping import FolderData, folders_time_frame, Paths, download

• Set the Path to where you want to store the Satellite Data.

  ") ">

  paths = Paths("
        
         "
        )

• Start the Download. (Note: One year needs around 110 GB Disk Space.)

  download(paths, years=[2019], tiles=["32TMT"], months=[7])

• Load a folder.

  folder_name = paths.folders[0]
  upper_left = (100000.0, 0.0)       # Postion on tile in [m]
  lower_right = (109800.0, 10000.0)  # Postion on tile in [m]
  data = FolderData(join(paths.data_path, folder_name), upper_left, lower_right)

• Display the image. (if matplotlib is not installed use pip install matplotlib)

  import matplotlib.pyplot as plt
  
  picture = data.data[:, :, [3, 1, 2]]  # NIR, GREEN, BLUE
  fig: plt.Figure = plt.figure()
  plt.imshow(picture)
  plt.show()